Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers

Takashi Hasuike, Tomoko Kashima, Shimpei Matsumoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper considers an agricultural supply chain management to find the best matching between farmers and retailers with contract according to their preferences. It is important to construct the agricultural production system to hold the win-win relationship considering transportation costs. Therefore, in this paper, a mathematical programming problem is formulated to find the optimal matching between farmers and retailers under several uncertainties. It is generally difficult to obtain the best solution directly in terms of multiobjectivity and uncertainty. Therefore, the flexible modeling and the efficient algorithm to obtain these optimal solutions are also developed using a data-driven approach using our proposed information system.

    Original languageEnglish
    Title of host publicationAdvances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
    EditorsIlkyeong Moon, Jinwoo Park, Gyu M. Lee, Dimitris Kiritsis, Gregor von Cieminski
    PublisherSpringer New York LLC
    Pages43-49
    Number of pages7
    ISBN (Print)9783319997032
    DOIs
    Publication statusPublished - 2018 Jan 1
    EventIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of
    Duration: 2018 Aug 262018 Aug 30

    Publication series

    NameIFIP Advances in Information and Communication Technology
    Volume535
    ISSN (Print)1868-4238

    Other

    OtherIFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
    CountryKorea, Republic of
    CitySeoul
    Period18/8/2618/8/30

    Fingerprint

    Supply chain management
    Mathematical programming
    Information systems
    Costs
    Uncertainty
    Retailers
    Mathematical modeling
    Farmers
    Optimal matching
    Win-win
    Optimal solution
    Transportation costs
    Agricultural production
    Modeling

    Keywords

    • Agricultural supply chain management
    • Data-driven approach
    • Mathematical programming

    ASJC Scopus subject areas

    • Information Systems
    • Computer Networks and Communications
    • Information Systems and Management

    Cite this

    Hasuike, T., Kashima, T., & Matsumoto, S. (2018). Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers. In I. Moon, J. Park, G. M. Lee, D. Kiritsis, & G. von Cieminski (Eds.), Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings (pp. 43-49). (IFIP Advances in Information and Communication Technology; Vol. 535). Springer New York LLC. https://doi.org/10.1007/978-3-319-99704-9_6

    Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers. / Hasuike, Takashi; Kashima, Tomoko; Matsumoto, Shimpei.

    Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. ed. / Ilkyeong Moon; Jinwoo Park; Gyu M. Lee; Dimitris Kiritsis; Gregor von Cieminski. Springer New York LLC, 2018. p. 43-49 (IFIP Advances in Information and Communication Technology; Vol. 535).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Hasuike, T, Kashima, T & Matsumoto, S 2018, Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers. in I Moon, J Park, GM Lee, D Kiritsis & G von Cieminski (eds), Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 535, Springer New York LLC, pp. 43-49, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018, Seoul, Korea, Republic of, 18/8/26. https://doi.org/10.1007/978-3-319-99704-9_6
    Hasuike T, Kashima T, Matsumoto S. Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers. In Moon I, Park J, Lee GM, Kiritsis D, von Cieminski G, editors, Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. Springer New York LLC. 2018. p. 43-49. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-99704-9_6
    Hasuike, Takashi ; Kashima, Tomoko ; Matsumoto, Shimpei. / Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers. Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. editor / Ilkyeong Moon ; Jinwoo Park ; Gyu M. Lee ; Dimitris Kiritsis ; Gregor von Cieminski. Springer New York LLC, 2018. pp. 43-49 (IFIP Advances in Information and Communication Technology).
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